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Assessing psychological resilience and its influencing factors in the MSM population by machine learning
Yiwei Zhou1,2,3, Zejie Zhang4, Fanglv Xiang5
1Business School, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Abstract:
This study assesses the influence of social support, self-esteem, depression, and education on psychological resilience among men who have sex with men (MSM) to inform policy-making. Data were collected from 1,070 MSM via an online survey in Zhejiang and the other 17 provinces, China, covering demographics, HIV-status and psychological factors. Psychological resilience and its influencing factors were analyzed using the Chi-square Automatic Interaction Detector (CHAID) decision tree and multivariable ordinal logistic regression. Among respondents, depression prevalence was 28.9%, HIV prevalence was 3.4%, low social support was 12.9%, and low self-esteem was 34.5%. Analysis identified depression, social support, self-esteem, and education as key factors influencing psychological resilience. Depression, low social support, low self-esteem, and education were significantly associated with psychological resilience in the study sample population of MSM. Targeted interventions addressing these factors are essential to improve mental health and reduce HIV risk.

